Computational Biologist
Boltz PBC is an AI-for-science company building biomolecular models, compute infrastructure, APIs, and collaborative tools for molecular design and drug discovery.
Funding history
About Boltz
Boltz develops frontier AI models for biomolecular structure prediction, binding-affinity estimation, and protein and small-molecule design. Its current offerings include open-source models and the commercial Boltz Lab and Boltz API products.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will apply protein design models to internal and client programs, build reproducible design and optimization pipelines, and analyze protein sequence, structural, and experimental data. You will select candidates, assess model performance, interpret experimental outcomes, and improve computational workflows for antibodies, peptides, and other protein therapeutics.
Requirements
- Computational protein engineering or related experience
- Python
- Scientific software development
- Data pipeline development
- Protein design, optimization, or modeling experience
- Protein sequence and structure analysis
- ProteinMPNN
- RFdiffusion
- BoltzGen
- Boltz
- BindCraft
- Communication
Responsibilities
- Apply protein design models to drug discovery programs
- Build end-to-end protein design and optimization pipelines
- Analyze protein sequence and structural data
- Select candidates for experimental testing
- Build evaluation datasets
- Analyze binding, affinity, expression, stability, and developability results
- Connect experimental outcomes to computational predictions
- Improve models, ranking methods, and design pipelines
- Develop reproducible scientific software and analysis tooling
Benefits
- Flexible remote working
- Access to the London office
- Equity